Luca Marchionni
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Andrea CensiGiuseppe OrioloAntonio FranchiSeth HutchinsonLeonardo LanariFrancesco FerroMichael OertelMaria De Marsico
- Topics
- Robotic Locomotion and Control (4 papers)Robotic Mechanisms and Dynamics (3 papers)User Authentication and Security Systems (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Journals
- IEEE Transactions on RoboticsRobotics and Autonomous SystemsMultimedia Tools and Applications
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Luca Marchionni
9 papers receiving 220 citations
Peers
Comparison fields: 5 of 57
- Aerospace Engineering 92
- Computer Vision and Pattern Recognition 83
- Control and Systems Engineering 66
- Biomedical Engineering 53
- Artificial Intelligence 52
Countries citing papers authored by Luca Marchionni
This map shows the geographic impact of Luca Marchionni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luca Marchionni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Marchionni more than expected).
Fields of papers citing papers by Luca Marchionni
This network shows the impact of papers produced by Luca Marchionni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luca Marchionni. The network helps show where Luca Marchionni may publish in the future.
Co-authorship network of co-authors of Luca Marchionni
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Marchionni. A scholar is included among the top collaborators of Luca Marchionni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luca Marchionni. Luca Marchionni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 55 | |
| 6 | Learning Advanced Robotics with TIAGo and its ROS Online Tutorials. | 0 |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 36 | |
| 10 | 86 | |
| 11 | 37 |
About Luca Marchionni
Luca Marchionni is a scholar working on Control and Systems Engineering, Signal Processing and Computer Science Applications, having authored 11 papers that have together received 231 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (4 papers), Robotic Mechanisms and Dynamics (3 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (83 citations), Aerospace Engineering (92 citations) and Control and Systems Engineering (66 citations). Luca Marchionni has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Andrea Censi, Giuseppe Oriolo, Antonio Franchi, Seth Hutchinson, Leonardo Lanari, Francesco Ferro, Michael Oertel, Maria De Marsico, Luis Unzueta and Olivier Stasse. Their work appears in journals such as IEEE Transactions on Robotics, Robotics and Autonomous Systems and Multimedia Tools and Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.